uber / fiber

Related projects ⓘ

Alternatives and complementary repositories for fiber

• uber / neuropod
  A uniform interface to run deep learning models from multiple frameworks
  ☆936Updated 10 months ago
• uber / petastorm
  Petastorm library enables single machine or distributed training and evaluation of deep learning models from datasets in Apache Parquet f…
  ☆1,798Updated 11 months ago
• uber / manifold
  A model-agnostic visual debugging tool for machine learning
  ☆1,649Updated last year
• google / ml-metadata
  For recording and retrieving metadata associated with ML developer and data scientist workflows.
  ☆625Updated 2 weeks ago
• pytorch / elastic
  PyTorch elastic training
  ☆730Updated 2 years ago
• VertaAI / modeldb
  Open Source ML Model Versioning, Metadata, and Experiment Management
  ☆1,700Updated 3 months ago
• kubeflow / katib
  Automated Machine Learning on Kubernetes
  ☆1,507Updated this week
• tensorflow / data-validation
  Library for exploring and validating machine learning data
  ☆763Updated last week
• ucbrise / clipper
  A low-latency prediction-serving system
  ☆1,404Updated 3 years ago
• tensorflow / tfx
  TFX is an end-to-end platform for deploying production ML pipelines
  ☆2,114Updated this week
• perone / euclidesdb
  A multi-model machine learning feature embedding database
  ☆631Updated 4 years ago
• RedisAI / RedisAI
  A Redis module for serving tensors and executing deep learning graphs
  ☆824Updated 7 months ago
• tony-framework / TonY
  TonY is a framework to natively run deep learning frameworks on Apache Hadoop.
  ☆708Updated last year
• polyaxon / polyaxon
  MLOps Tools For Managing & Orchestrating The Machine Learning LifeCycle
  ☆3,567Updated this week
• tensorflow / model-analysis
  Model analysis tools for TensorFlow
  ☆1,254Updated this week
• kubeflow / fairing
  Python SDK for building, training, and deploying ML models
  ☆337Updated 2 years ago
• logicalclocks / hopsworks
  Hopsworks - Data-Intensive AI platform with a Feature Store
  ☆1,159Updated this week
• google-research / seed_rl
  SEED RL: Scalable and Efficient Deep-RL with Accelerated Central Inference. Implements IMPALA and R2D2 algorithms in TF2 with SEED's arch…
  ☆798Updated last year
• tensorflow / io
  Dataset, streaming, and file system extensions maintained by TensorFlow SIG-IO
  ☆705Updated this week
• tuplex / tuplex
  Tuplex is a parallel big data processing framework that runs data science pipelines written in Python at the speed of compiled code. Tupl…
  ☆810Updated 7 months ago
• BlazingDB / blazingsql
  BlazingSQL is a lightweight, GPU accelerated, SQL engine for Python. Built on RAPIDS cuDF.
  ☆1,933Updated 2 years ago
• google / caliban
  Research workflows made easy, locally and in the Cloud.
  ☆491Updated 5 months ago
• microsoft / hummingbird
  Hummingbird compiles trained ML models into tensor computation for faster inference.
  ☆3,352Updated 2 weeks ago
• NVIDIA-Merlin / NVTabular
  NVTabular is a feature engineering and preprocessing library for tabular data designed to quickly and easily manipulate terabyte scale da…
  ☆1,047Updated 2 months ago
• ray-project / tutorial
  ☆779Updated 2 years ago
• kubeflow-kale / kale
  Kubeflow’s superfood for Data Scientists
  ☆632Updated last year
• NVIDIA / aistore
  AIStore: scalable storage for AI applications
  ☆1,268Updated this week
• dkeras-project / dkeras
  Distributed Keras Engine, Make Keras faster with only one line of code.
  ☆190Updated 5 years ago
• 1duo / awesome-ai-infrastructures
  Infrastructures™ for Machine Learning Training/Inference in Production.
  ☆385Updated 5 years ago
• guildai / guildai
  Experiment tracking, ML developer tools
  ☆870Updated last year